Cargando…
Development of an Automatic Pipeline for Participation in the CELPP Challenge
The prediction of how a ligand binds to its target is an essential step for Structure-Based Drug Design (SBDD) methods. Molecular docking is a standard tool to predict the binding mode of a ligand to its macromolecular receptor and to quantify their mutual complementarity, with multiple applications...
Autores principales: | Miñarro-Lleonar, Marina, Ruiz-Carmona, Sergio, Alvarez-Garcia, Daniel, Schmidtke, Peter, Barril, Xavier |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105952/ https://www.ncbi.nlm.nih.gov/pubmed/35563148 http://dx.doi.org/10.3390/ijms23094756 |
Ejemplares similares
-
Lenalidomide
Stabilizes Protein–Protein Complexes
by Turning Labile Intermolecular H-Bonds into Robust Interactions
por: Miñarro-Lleonar, Marina, et al.
Publicado: (2023) -
Extracting Atomic Contributions to Binding Free Energy using Molecular Dynamics Simulations with Mixed Solvents (MDmix)
por: Alvarez-Garcia, Daniel, et al.
Publicado: (2022) -
rDock: A Fast, Versatile and Open Source Program for Docking Ligands to Proteins and Nucleic Acids
por: Ruiz-Carmona, Sergio, et al.
Publicado: (2014) -
Dissimilar Ligands Bind in a Similar Fashion: A Guide to Ligand Binding-Mode Prediction with Application to CELPP Studies
por: Xu, Xianjin, et al.
Publicado: (2021) -
Testing automatic methods to predict free binding energy of host–guest complexes in SAMPL7 challenge
por: Serillon, Dylan, et al.
Publicado: (2021)